Cities with the Most Births per 1,000 Women in Labor Force in Maryland

RELATED REPORTS & OPTIONS

Highest Birth Rate | In Labor Force
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Maryland
Compare Cities
Comparison Subject

Map of Cities with the Most Births per 1,000 Women in Labor Force in Maryland

0.0
1,000.0
Cities with the Most Births per 1,000 Women in Labor Force in Maryland Map

Cities with the Most Births per 1,000 Women in Labor Force in Maryland

City Births / 1,000 Women vs State vs National
1.Friendship1,000.050.0(+950)#148.0(+952)#17
2.Antietam1,000.050.0(+950)#248.0(+952)#77
3.Dargan636.050.0(+586)#348.0(+588)#173
4.Zihlman500.050.0(+450)#448.0(+452)#242
5.Flintstone500.050.0(+450)#548.0(+452)#244
6.Fishing Creek405.050.0(+355)#648.0(+357)#385
7.Brookview400.050.0(+350)#748.0(+352)#401
8.Aquasco364.050.0(+314)#848.0(+316)#463
9.Corriganville342.050.0(+292)#948.0(+294)#520
10.Edgemont293.050.0(+243)#1048.0(+245)#695
11.Konterra265.050.0(+215)#1148.0(+217)#820
12.Maryland Park239.050.0(+189)#1248.0(+191)#961
13.Cedar Heights206.050.0(+156)#1348.0(+158)#1,228
14.North Brentwood200.050.0(+150)#1448.0(+152)#1,275
15.Goldsboro192.050.0(+142)#1548.0(+144)#1,411
16.Piney Point189.050.0(+139)#1648.0(+141)#1,446
17.Leonardtown171.050.0(+121)#1748.0(+123)#1,713
18.Hughesville157.050.0(+107)#1848.0(+109)#2,004
19.Edmonston153.050.0(+103)#1948.0(+105)#2,102
20.Fairmount Heights151.050.0(+101)#2048.0(+103)#2,144
21.Marydel150.050.0(+100.0)#2148.0(+102)#2,172
22.Bladensburg149.050.0(+99.0)#2248.0(+101)#2,177
23.Mardela Springs148.050.0(+98.0)#2348.0(+100.0)#2,228
24.Easton141.050.0(+91.0)#2448.0(+93.0)#2,399
25.Shaft140.050.0(+90.0)#2548.0(+92.0)#2,447
26.Arden On The Severn135.050.0(+85.0)#2648.0(+87.0)#2,577
27.Accident134.050.0(+84.0)#2748.0(+86.0)#2,624
28.Garrett Park133.050.0(+83.0)#2848.0(+85.0)#2,644
29.Lansdowne129.050.0(+79.0)#2948.0(+81.0)#2,780
30.Andrews Afb129.050.0(+79.0)#3048.0(+81.0)#2,783
31.Woodlawn Cdp Prince George S County125.050.0(+75.0)#3148.0(+77.0)#2,906
32.Sudlersville125.050.0(+75.0)#3248.0(+77.0)#2,938
33.Abingdon124.050.0(+74.0)#3348.0(+76.0)#2,970
34.Kensington122.050.0(+72.0)#3448.0(+74.0)#3,053
35.Westernport122.050.0(+72.0)#3548.0(+74.0)#3,055
36.Mount Airy119.050.0(+69.0)#3648.0(+71.0)#3,157
37.Princess Anne119.050.0(+69.0)#3748.0(+71.0)#3,167
38.Paramount Long Meadow119.050.0(+69.0)#3848.0(+71.0)#3,170
39.Potomac Park117.050.0(+67.0)#3948.0(+69.0)#3,274
40.Baden111.050.0(+61.0)#4048.0(+63.0)#3,497
41.Pocomoke City110.050.0(+60.0)#4148.0(+62.0)#3,578
42.Perryman110.050.0(+60.0)#4248.0(+62.0)#3,591
43.Laytonsville110.050.0(+60.0)#4348.0(+62.0)#3,616
44.Washington Grove110.050.0(+60.0)#4448.0(+62.0)#3,617
45.Huntingtown106.050.0(+56.0)#4548.0(+58.0)#3,807
46.Fairplay105.050.0(+55.0)#4648.0(+57.0)#3,870
47.East New Market105.050.0(+55.0)#4748.0(+57.0)#3,877
48.Bartonsville103.050.0(+53.0)#4848.0(+55.0)#3,980
49.Lanham102.050.0(+52.0)#4948.0(+54.0)#4,038
50.South Kensington100.050.0(+50.0)#5048.0(+52.0)#4,147
51.Chevy Chase Section Five100.050.0(+50.0)#5148.0(+52.0)#4,186
52.Ferndale98.050.0(+48.0)#5248.0(+50.0)#4,294
53.Wilson Conococheague96.050.0(+46.0)#5348.0(+48.0)#4,449
54.Brentwood95.050.0(+45.0)#5448.0(+47.0)#4,483
55.Largo93.050.0(+43.0)#5548.0(+45.0)#4,626
56.Midland93.050.0(+43.0)#5648.0(+45.0)#4,678
57.Fulton92.050.0(+42.0)#5748.0(+44.0)#4,712
58.Ocean Pines90.050.0(+40.0)#5848.0(+42.0)#4,882
59.Burtonsville90.050.0(+40.0)#5948.0(+42.0)#4,885
60.Jarrettsville90.050.0(+40.0)#6048.0(+42.0)#4,906
61.Landover89.050.0(+39.0)#6148.0(+41.0)#4,937
62.Rock Hall89.050.0(+39.0)#6248.0(+41.0)#5,002
63.Waldorf88.050.0(+38.0)#6348.0(+40.0)#5,031
64.Flower Hill87.050.0(+37.0)#6448.0(+39.0)#5,134
65.Four Corners87.050.0(+37.0)#6548.0(+39.0)#5,145
66.Sykesville87.050.0(+37.0)#6648.0(+39.0)#5,154
67.Arbutus86.050.0(+36.0)#6748.0(+38.0)#5,214
68.Middle River85.050.0(+35.0)#6848.0(+37.0)#5,300
69.Hampstead85.050.0(+35.0)#6948.0(+37.0)#5,318
70.Martin S Additions85.050.0(+35.0)#7048.0(+37.0)#5,354
71.Lexington Park84.050.0(+34.0)#7148.0(+36.0)#5,379
72.Taneytown84.050.0(+34.0)#7248.0(+36.0)#5,385
73.Glenarden84.050.0(+34.0)#7348.0(+36.0)#5,387
74.Prince Frederick84.050.0(+34.0)#7448.0(+36.0)#5,403
75.Pittsville84.050.0(+34.0)#7548.0(+36.0)#5,407
76.Fort Meade83.050.0(+33.0)#7648.0(+35.0)#5,453
77.Cavetown82.050.0(+32.0)#7748.0(+34.0)#5,623
78.North Chevy Chase82.050.0(+32.0)#7848.0(+34.0)#5,626
79.Bowleys Quarters81.050.0(+31.0)#7948.0(+33.0)#5,660
80.West Ocean City81.050.0(+31.0)#8048.0(+33.0)#5,664
81.Preston81.050.0(+31.0)#8148.0(+33.0)#5,700
82.Clarksburg80.050.0(+30.0)#8248.0(+32.0)#5,720
83.Brunswick80.050.0(+30.0)#8348.0(+32.0)#5,744
84.Redland79.050.0(+29.0)#8448.0(+31.0)#5,826
85.Wildewood79.050.0(+29.0)#8548.0(+31.0)#5,851
86.Romancoke78.050.0(+28.0)#8648.0(+30.0)#5,983
87.Mount Aetna78.050.0(+28.0)#8748.0(+30.0)#6,017
88.Westminster77.050.0(+27.0)#8848.0(+29.0)#6,032
89.Union Bridge77.050.0(+27.0)#8948.0(+29.0)#6,100
90.Hagerstown76.050.0(+26.0)#9048.0(+28.0)#6,144
91.Rising Sun76.050.0(+26.0)#9148.0(+28.0)#6,184
92.Rossville75.050.0(+25.0)#9248.0(+27.0)#6,257
93.Springdale75.050.0(+25.0)#9348.0(+27.0)#6,279
94.Herald Harbor75.050.0(+25.0)#9448.0(+27.0)#6,288
95.Friendsville75.050.0(+25.0)#9548.0(+27.0)#6,342
96.La Plata74.050.0(+24.0)#9648.0(+26.0)#6,381
97.Seabrook72.050.0(+22.0)#9748.0(+24.0)#6,586
98.Riverdale Park71.050.0(+21.0)#9848.0(+23.0)#6,693
99.Cheverly71.050.0(+21.0)#9948.0(+23.0)#6,696
100.Charlestown71.050.0(+21.0)#10048.0(+23.0)#6,715

Common Questions

What are the Top 10 Cities with the Most Births per 1,000 Women in Labor Force in Maryland?
Top 10 Cities with the Most Births per 1,000 Women in Labor Force in Maryland are:
#1
1,000.0
#2
1,000.0
#3
636.0
#4
500.0
#5
500.0
#6
405.0
#7
400.0
#8
364.0
#9
342.0
#10
293.0
What city has the Most Births per 1,000 Women in Labor Force in Maryland?
Friendship has the Most Births per 1,000 Women in Labor Force in Maryland with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Maryland?
Number of Births per 1,000 Women in Labor Force in Maryland is 50.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.